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Issues (4082)

Orange/statistics/tests.py (3 issues)

1
import math
2
import numpy as np
0 ignored issues
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The import numpy could not be resolved.

This can be caused by one of the following:

1. Missing Dependencies

This error could indicate a configuration issue of Pylint. Make sure that your libraries are available by adding the necessary commands.

# .scrutinizer.yml
before_commands:
    - sudo pip install abc # Python2
    - sudo pip3 install abc # Python3
Tip: We are currently not using virtualenv to run pylint, when installing your modules make sure to use the command for the correct version.

2. Missing __init__.py files

This error could also result from missing __init__.py files in your module folders. Make sure that you place one file in each sub-folder.

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3
import scipy
0 ignored issues
show
The import scipy could not be resolved.

This can be caused by one of the following:

1. Missing Dependencies

This error could indicate a configuration issue of Pylint. Make sure that your libraries are available by adding the necessary commands.

# .scrutinizer.yml
before_commands:
    - sudo pip install abc # Python2
    - sudo pip3 install abc # Python3
Tip: We are currently not using virtualenv to run pylint, when installing your modules make sure to use the command for the correct version.

2. Missing __init__.py files

This error could also result from missing __init__.py files in your module folders. Make sure that you place one file in each sub-folder.

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4
5
def wilcoxon_rank_sum(d1, d2):
6
    # TODO Check this function!!!
0 ignored issues
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TODO and FIXME comments should generally be avoided.
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7
    N1, N2 = np.sum(d1[1, :]), np.sum(d2[1, :])
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    ni1, ni2 = d1.shape[1], d2.shape[1]
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    i1 = i2 = 0
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    R = 0
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    rank = 0
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    while i1 < ni1 and i2 < ni2:
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        if d1[0, i1] < d2[0, i2]:
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            R += (rank + (d1[1, i1] - 1) / 2) * d1[1, i1]
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            rank += d1[1, i1]
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            i1 += 1
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        elif d1[0, i1] == d2[0, i2]:
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            br = d1[1, i1] + d2[1, i2]
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            R += (rank + (br - 1) / 2) * d1[1, i1]
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            rank += br
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            i1 += 1
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            i2 += 1
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        else:
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            rank += d2[1, i2]
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            i2 += 1
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    if i1 < ni1:
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        s = np.sum(d1[1, i1:])
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        R += (rank + (s - 1) / 2) * s
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    U = R - N1 * (N1 + 1) / 2
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    m = N1 * N2 / 2
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    var = m * (N1 + N2 + 1) / 6
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    z = abs(U - m) / math.sqrt(var)
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    p = 2 * (1 - scipy.special.ndtr(z))
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    return z, p
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